Tolerance Synthesis of Delta-like Parallel Robots Using a Nonlinear Optimisation Method

dc.contributor.authorAllaoua Brahmia
dc.contributor.authorAdlen Kerboua
dc.contributor.authorRidha Kelaiaia
dc.contributor.authorAmeur Latreche
dc.date.accessioned2024-05-26T08:56:56Z
dc.date.available2024-05-26T08:56:56Z
dc.date.issued2023-07-26
dc.description.abstractRobotic systems require high accuracy in manipulating objects. Positioning errors are influenced by geometric tolerances and various sources. This paper introduces a new technique based on the interior-point algorithm optimisation method to allocate tolerances to the geometric parameters of a robot. This method consists of three steps. First, a method for modelling the kinematic problem as well as the geometric errors must be used. The Denavit–Hartenberg rule is the most suitable method for this modelling case. Then, a mathematical model for tolerance allocation is developed and used as a nonlinear multivariable optimisation problem. Finally, the “interior-point” algorithm is used to solve this optimisation problem. The accuracy and efficiency of the proposed method, in determining the tolerance allocations for a Delta parallel robot, is illustrated via calculation and simulation results. The values of the dimensional tolerances found are optimal. As a result, these values always keep the accuracy less than or equal to the imposed value.
dc.identifier.otherhttps://www.mdpi.com/2076-3417/13/19/10703#
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/1858
dc.language.isoen
dc.publisherApplied Sciences
dc.titleTolerance Synthesis of Delta-like Parallel Robots Using a Nonlinear Optimisation Method
dc.typeArticle
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